Xiaohao Cai
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
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- Species Distribution and Climate Change 4
- Co-authors
- Tieyong ZengRaymond H. ChanJason D. McEwenMarcelo PereyraCarola‐Bibiane SchönliebJuheon LeeDavid A. CoomesMila Nikolova
- Journals
- Monthly Notices of the Royal Astronomical Society (5 papers)Journal of Scientific Computing (2 papers)SIAM Journal on Imaging Sciences (2 papers)Pattern Recognition (2 papers)Scientific Reports (1 paper)
- Partner nations
- United KingdomHong KongChina
In The Last Decade
Xiaohao Cai
39 papers receiving 702 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 295
- Media Technology 92
- Computational Mathematics 6
- Environmental Engineering 112
- Computational Mechanics 120
Countries citing papers authored by Xiaohao Cai
This map shows the geographic impact of Xiaohao Cai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaohao Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohao Cai more than expected).
Fields of papers citing papers by Xiaohao Cai
This network shows the impact of papers produced by Xiaohao Cai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaohao Cai. The network helps show where Xiaohao Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohao Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | Data Augmentation in Classification and Segmentation: A Survey and New Strategies Hit paper breakdown → | 2023 | 127 |
| 12 | 2022 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2019 | 20 | |
| 15 | 2019 | 7 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 6 | |
| 18 | 2017 | 34 | |
| 19 | 2015 | 3 | |
| 20 | 2013 | 16 |
About Xiaohao Cai
Xiaohao Cai is a scholar working on Computational Mathematics, Ecological Modeling, Computer Vision and Pattern Recognition, Structural Biology and Statistics and Probability, having authored 42 papers that have together received 722 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Sparse and Compressive Sensing Techniques (7 papers), Remote Sensing and LiDAR Applications (4 papers), Species Distribution and Climate Change (4 papers), Anomaly Detection Techniques and Applications (4 papers), Image and Signal Denoising Methods (4 papers), Gaussian Processes and Bayesian Inference (4 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (295 citations), Media Technology (92 citations), Computational Mathematics (6 citations), Environmental Engineering (112 citations) and Computational Mechanics (120 citations). Xiaohao Cai has collaborated with scholars based in United Kingdom, Hong Kong and China. Frequent co-authors include Tieyong Zeng, Raymond H. Chan, Jason D. McEwen, Marcelo Pereyra, Carola‐Bibiane Schönlieb, Juheon Lee, David A. Coomes, Mila Nikolova, Gabriele Steidl and Michele Dalponte. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Journal of Scientific Computing, SIAM Journal on Imaging Sciences, Pattern Recognition and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.